Course Curriculum

Comprehensive Course Curriculum

Our industry-aligned curriculum is designed by experts to help you master the most in-demand cyber security skills and prepare you for a successful career.

Data & Security Fundamentals

Begin your journey by understanding core cybersecurity concepts and how data supports threat detection. You’ll explore risk metrics, threat types, and structured vs. unstructured data in security systems. Dive into compliance frameworks like GDPR and HIPAA, and understand governance protocols. Analyze real-world data breach case studies to connect theory with practice. This module builds the foundation for advanced topics. You’ll emerge with a clear grasp of how data drives modern security decisions.

What you'll learn:

Cybersecurity basics and common threats.
How data supports security and risk analysis.
Compliance standards like GDPR and HIPAA.

Cybersecurity Basics

Learn Excel fundamentals including formulas, pivot tables, charts, statistical functions, dashboards, and What-if analysis, developing skills to analyze, visualize, and present cybersecurity data efficiently, including collaborative work using Google Sheets. Read More

Opportunities it opens

Data Foundations

Gain a strong understanding of data foundations, including databases, CRUD operations, joins, aggregations, filtering, and subqueries to extract, manipulate, and organize data effectively for cybersecurity analysis and reporting. Read More

Opportunities it opens

Risk, Compliance & Govern

Understand risk, compliance, and governance concepts, including database indexing, normalization, and relational database structures to manage and secure data assets while ensuring regulatory compliance. Read More

Opportunities it opens

Python, SQL & Data Management

Develop hands-on skills in Python and SQL, the two most essential tools in cybersecurity analytics. Learn to write scripts, automate analysis, and handle large-scale log files using Pandas. Explore how to query security data with SQL and clean complex incident datasets. Understand log formats, data storage systems, and database design for cyber use cases. By the end, you’ll be comfortable with managing real-world security data. These are the core tools you’ll use across every future module.

What you'll learn:

Automate security data analysis using Python and libraries like Pandas.
Query and manage large-scale security logs with SQL.
Handle and prepare structured and unstructured data for cybersecurity use cases.

Python Programming

Master Python programming for cybersecurity, including variables, loops, conditionals, functions, and data structures such as lists, tuples, dictionaries, and sets to write modular, readable code for automation, analysis, and security applications. Read More

Opportunities it opens

SQL for Security Logs

Apply SQL for analyzing security logs, performing queries, joins, aggregates, and filtering, developing the ability to generate actionable insights from large security datasets efficiently. Read More

Opportunities it opens

Data Wrangling & Storage

Perform data wrangling and storage, including vectorized operations, DataFrame manipulation, filtering, merging, grouping, and reshaping to ensure datasets are clean, structured, and ready for cybersecurity modeling and analysis. Read More

Opportunities it opens

Machine Learning for Anomaly Detection

Dive deep into machine learning and use it to uncover anomalies in network behavior. Start with foundational techniques like supervised and unsupervised learning, then apply them to real threats. Build models using algorithms like Isolation Forest and Autoencoders. Understand how to detect rare events that traditional systems miss. You’ll also work on time-series and sequence data to catch evolving threats. This module builds your predictive analytics expertise for security environments.

What you'll learn:

Apply supervised learning to detect known cyber threats.
Use unsupervised learning to uncover hidden anomalies in network data.
Build and tune models like Isolation Forest and Autoencoders for anomaly detection.

Supervised Learning

Learn supervised learning techniques for anomaly detection, classification, and predictive modeling, building models to identify suspicious activity and potential security threats using historical data. Read More

Opportunities it opens

Unsupervised Learning

Explore unsupervised learning methods such as clustering and dimensionality reduction, developing the ability to detect hidden patterns and unusual behaviors in security data for threat analysis. Read More

Opportunities it opens

Anomaly Detection Models

Implement anomaly detection models using machine learning algorithms to recognize deviations, enhancing cybersecurity monitoring by automatically detecting suspicious activities in network and system logs. Read More

Opportunities it opens

Cyber Threat Intelligence & Defense

Learn how to identify, analyze, and respond to cyber threats using modern tools and frameworks. Get hands-on with IDS/IPS systems, SIEM platforms, and threat-hunting methods. Understand attacker behavior through threat feeds, indicators of compromise, and behavioral patterns. Practice responding to incidents using SOC workflows and structured playbooks. You’ll simulate attacks and responses in real-time labs. This module sharpens your defense skills and operational awareness.

What you'll learn:

Use IDS/IPS and SIEM tools for real-time threat monitoring.
Learn proactive cyber threat hunting and behavior analysis.
Investigate and respond to security incidents with SOC workflows and playbooks.

Cyber Threat Hunting

Conduct cyber threat hunting by analyzing network, system, and application data, developing proactive strategies to identify vulnerabilities and prevent potential security incidents. Read More

Opportunities it opens

IDS/IPS Systems & SIEM Tools

Work with IDS/IPS systems and SIEM tools to monitor, detect, and respond to threats, gaining hands-on experience in using industry-standard security monitoring solutions. Read More

Opportunities it opens

Incident Analysis

Perform incident analysis to investigate security breaches and determine root causes, learning structured approaches to document findings, assess impact, and improve defensive measures. Read More

Opportunities it opens

Security Analytics & Predictive Modeling

Bridge cybersecurity and data science by applying predictive models to threat data. Learn to analyze malware behavior and simulate risk using ARIMA, Prophet, and Monte Carlo methods. Work on real case studies from BFSI and healthcare to apply models in context. Forecast vulnerabilities and recommend proactive security actions. Build custom dashboards and reports for decision-makers. This module prepares you to move from reactive to predictive security operations.

What you'll learn:

Analyze malware behavior using machine learning algorithms.
Forecast cyber risks using predictive models like ARIMA and Prophet.
Apply AI-driven security analytics in BFSI and healthcare case studies.

Malware Detection with ML

Apply machine learning techniques for malware detection using patterns and behavioral analysis, developing models to identify known and emerging threats in real-time environments. Read More

Opportunities it opens

Threat Forecasting Models

Build threat forecasting models to anticipate attacks, predict vulnerabilities, and prioritize mitigation, using historical data and predictive analytics to strengthen proactive cybersecurity strategies. Read More

Opportunities it opens

Case Studies in BFSI & Healthcare

Analyze case studies in BFSI, healthcare, and other industries to understand practical security challenges, applying theoretical knowledge to real-world scenarios to enhance analytical and decision-making skills. Read More

Opportunities it opens

Projects, Deployment & Career Readiness

Bring everything together in a capstone project that solves a real-world security problem. From data ingestion to threat modeling and visualization, you’ll apply the full tech stack. Get personalized support on your resume, LinkedIn, and interview preparation. Participate in mock interviews with industry mentors and hiring managers. Pitch your final project for review and feedback from experts. This module ensures you’re job-ready with a strong project portfolio and placement support.

What you'll learn:

Execute a full-cycle security analytics capstone project.
Enhance your resume, LinkedIn profile, and interview skills with expert guidance.
Present your project to industry mentors and prepare for job placement.

Capstone Security Analytics Project

Complete a capstone security analytics project by designing end-to-end workflows, deploying models, and presenting results to demonstrate expertise in threat detection, predictive modeling, and actionable cybersecurity insights. Read More

Opportunities it opens

Resume + LinkedIn + Mock Interviews

Optimize your resume and LinkedIn profile while participating in mock interviews for cybersecurity roles, learning to highlight technical skills, project experience, and problem-solving capabilities effectively to attract recruiters. Read More

Opportunities it opens

Final Presentation + Placement Prep

Present your final project during a live demo day and prepare for placement opportunities, gaining experience showcasing your skills to mentors and potential employers in a professional setting. Read More

Opportunities it opens

Data Science with Cyber Security

What role does a Data Science with Cyber Security?

Cyber Data Scientist

Leverage AI and data analytics to detect and prevent cyber threats.

Security Data Analyst

Analyze logs and security data to identify anomalies and risks.

Machine Learning Engineer

Build threat detection models for real-time cybersecurity solutions.

Cybersecurity Engineer

Design and implement secure data systems and protocols.

Threat Intelligence Analyst

Use data to understand and predict emerging cyber threats.

Security Operations Analyst

Monitor and respond to security incidents using data insights.

Compliance Analyst

Ensure organizational data practices align with security standards.

AI Security Researcher

Develop AI-powered tools for proactive cyber defense.

Proven 85% Placement Success Across Batches

International Placements

Learners placed in top global companies across UAE, UK, Canada, and more.

10+ Batches 500+ Learners

Transformed 5,000+ Careers

Empowering professionals and freshers to level up through skill-based learning.

110+ Batches 5K+ Learners

100+ Hiring Partners

Trusted by industry-leading recruiters and top-tier startups.

110+ Batches 5K+ Learners

Avg. Salary Hike of 70%

Learners have reported significant hikes post program completion.

1000+ Placements

Expert Faculties

Learn from experienced mentors with proven industry expertise

Ranjitha

Expertise:

Data Science & AI Trainer

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Postgraduate in computer science Certified AI & Machine Learning Professional Specialized training in Python, Machine Learning, Deep Learning and Natural Language Processing Proficient in MLPPS, Model Deployment, and Cloud Integration (AWS)

Jeevitha D S

Expertise:

Power BI, Tableau, SQL, Excel

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Jeevitha is a detail-oriented Principal Instructor – Data Science & AI with 5 years of experience delivering hands-on training in Machine Learning, Deep Learning, MLOps, and Generative AI.

Ravi Singh

Expertise:

Deep Learning & Computer Vision

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Arjun is a researcher turned instructor who specializes in computer vision projects such as image recognition and object detection. His sessions are hands-on, blending theory with projects like self-driving car simulations.

Simran Kaur

Expertise:

Business Analytics & Decision Sciences

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Simran has worked with Fortune 500 companies to solve strategic problems using analytics. She teaches statistical modeling, hypothesis testing, and decision-making frameworks with real case studies.

Dr. Vivek Iyer

Expertise:

Natural Language Processing (NLP)

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With a strong research background, Dr. Vivek has published multiple papers in NLP. He mentors learners on text mining, sentiment analysis, and building conversational AI systems.

Meera Joshi

Expertise:

Data Strategy & Analytics Consulting

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Meera brings 12+ years of corporate consulting experience, teaching how to align analytics with business goals. She emphasizes data storytelling and translating insights into executive-level decisions.

Karan Malhotra

Expertise:

Artificial Intelligence & MLOps

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Karan is an AI solutions architect, training students in production-level ML systems. He focuses on deploying, monitoring, and scaling ML models, bridging the gap between ML and DevOps.

Rahul Mehta

Expertise:

Data Visualization & BI Analytics

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Rahul is a certified BI professional with 10 years in analytics consulting. He helps learners convert raw data into actionable dashboards and KPIs, making him a go-to mentor for visualization enthusiasts.

Real-World Industry Projects

Apply Skills in Real-World Industry Projects

Insider Threat Detection in Enterprises

Use anomaly detection models to identify suspicious user behavior within corporate systems, flagging potential insider threats in real-time. Analyze logins, file access, and system usage patterns.

Tools Used: Python (Isolation Forest, Autoencoders), SQL, Kibana
Skills: Anomaly Detection, Behavioral Analytics, Log Analysis
Sector: IT Sector

Financial Fraud Detection with ML

Develop a supervised learning model to classify and flag fraudulent financial transactions using historical patterns and transaction metadata.

Tools: Python (Scikit-learn, XGBoost), SQL, Power BI
Skills: Classification, Imbalanced Data Handling, Model Evaluation
Sector: Fintech

Malware Spread Forecasting

Use time-series forecasting techniques to predict the spread of malware in hospital networks and minimize critical system downtimes.

Tools: Python (ARIMA, Prophet), Pandas, Matplotlib
Skills: Forecasting, Time-Series Modeling, Cyber Risk Analytics
Sector: Healthcare Sector

Real-Time Anomaly Detection for Network Logs

Build a streaming anomaly detection system to monitor and detect threats from government network logs in real-time.

Tools: Apache Kafka, Python, ELK Stack
Skills: Streaming Data, Real-Time Analytics, Network Security
Sector: Govt

Email Phishing Classifier using NLP

Train a natural language processing model to classify emails as phishing or legitimate using text patterns and metadata.

Tools: Python (NLTK, Scikit-learn), Pandas
Skills: NLP, Text Classification, Cybersecurity
Sector: Corporate Cybersecurity

SOC Dashboard for Security Incidents

Design a Security Operations Center (SOC) dashboard to visualize and track live security alerts and incident response KPIs for retail systems.

Tools: Splunk, Tableau, SQL
Skills: Security Monitoring, SIEM, Dashboarding
Sector: Retail

Ransomware Detection Using File Behavior Analytics

Develop a system that monitors file access patterns to detect ransomware activity based on encryption spikes, access frequency, and anomalies.

Tools: Python (Scikit-learn, Pandas), ELK Stack, OSQuer
Skills: Behavioral Analytics, Feature Engineering, File System Monitoring
Sector: Enterprise IT Security

Identity Theft Detection with Multi-Factor Risk Scoring

Build a multi-factor scoring model that detects identity theft attempts based on device, location, transaction, and behavioral data.

Tools: Python, SQL, Power BI
Skills: Risk Modeling, Scoring Systems, Data Integration
Sector: Digital Banking

Testimonials

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Real stories of career transformations with our Data Science with Cyber Security program.

2 Offers with 300% Hike

With BookMyLearning’s Cloud Architect course, I cracked 2 top tech interviews and bagged offers with a 300% salary hike!

Nikhil YN

Cloud Support → Cloud Engineer

Career Switch into IT

Coming from sales, I never thought I’d land an IT role. BookMyLearning’s training changed my path completely!

Aman Yadav

Sales Executive → IT Associate

Fresher to Dream Job

Straight out of college, I was able to land a dream job in analytics. BookMyLearning made it smooth and fast.

Ayush Shah

College Graduate → Data Analyst

Financially Independent

I transitioned from being a homemaker to a tech professional. Now I earn and support my family with confidence!

Somika Simlote

Homemaker → Software Tester

Non-Tech to Data Science

Coming from a commerce background, I never imagined switching to tech. BookMyLearning’s mentorship made it happen.

Ritika Ghosh

B.Com Graduate → Data Scientist

Restarted Career at 35

At 35, I was nervous to restart. The practical training and projects gave me real confidence and a new career!

Rahul Sharma

Teacher → Web Developer

Restarted Career at 35

At 35, I was nervous to restart. The practical training and projects gave me real confidence and a new career!

Rahul Sharma

Teacher → Web Developer

Upgraded to Project Manager

The leadership-focused curriculum helped me scale up from QA to a management role within months.

Aditya Rao

QA Analyst → Project Manager

Cracked FAANG Interview

BookMyLearning helped me bridge the gap between startup skills and FAANG-level interviews. I finally made it!

Megha Kapoor

Startup Developer → Software Engineer @FAANG

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Capstone Projects

Comprehensive Course Curriculum

Data & Security Fundamentals

What you'll learn:

Cybersecurity Basics

Data Foundations

Risk, Compliance & Govern

Python, SQL & Data Management

What you'll learn:

Python Programming

SQL for Security Logs

Data Wrangling & Storage

Machine Learning for Anomaly Detection

What you'll learn:

Supervised Learning

Unsupervised Learning

Anomaly Detection Models

Cyber Threat Intelligence & Defense

What you'll learn:

Cyber Threat Hunting

IDS/IPS Systems & SIEM Tools

Incident Analysis

Security Analytics & Predictive Modeling

What you'll learn: